Treffer: SIT-SE: A Specification-Based Incremental Testing Method With Symbolic Execution.

Title:
SIT-SE: A Specification-Based Incremental Testing Method With Symbolic Execution.
Authors:
Wang, Rong1 (AUTHOR) rong.wang.99@stu.hosei.ac.jp, Liu, Shaoying2 (AUTHOR) sliu@hiroshima-u.ac.jp, Sato, Yuji1 (AUTHOR) yuji@hosei.ac.jp
Source:
IEEE Transactions on Reliability. Sep2021, Vol. 70 Issue 3, p1053-1070. 18p.
Database:
Business Source Premier

Weitere Informationen

Symbolic execution is a powerful technique for automating software testing to detect many types of errors such as memory errors and assertion violations. However, it encounters the problem of path explosion, and by using only assertions, it still lacks the capability of going deep into checking the functional correctness of a path based on corresponding formal specifications. To address these problems, we propose a specification-based incremental testing method with symbolic execution, called SIT-SE, providing a much more rigorous way to automatically check the functional correctness of all the discovered program paths, by introducing theorems (instead of assertions) for path correctness and branch sequence coverage algorithm for guiding a moderate path exploration. Compared with Hoare logic for proving the correctness of an entire program, a theorem in the SIT-SE is made for verifying the correctness of a program path. The proposed method carefully treats the relationship between a path condition and the specification in a theorem to restrict the monotonous path exploration, whereas traditional concolic testing methods roughly use one test data to determine the path correctness by assertions during long path searching. We use a classic case to demonstrate how the method works and conduct an experiment to evaluate the performance of both the proposed method and the commonly used well-known concolic testing tool KLEE. The experimental results show that our method SIT-SE is effective and outperforms KLEE in detecting faulty paths based on specifications. [ABSTRACT FROM AUTHOR]

Copyright of IEEE Transactions on Reliability is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)